Hardware implementation of neural network-based engine model using FPGA von Magdy Saady, Marina, Hassan Essai, Mohamed

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Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems von Essai Ali, Mohamed Hassan, Rabeh, M. Lotfy, Hekal, Sherif, Abbas, Abeer N.

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Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach von Essai Ali, Mohamed Hassan, Taha, Ibrahim B.M

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Deep Learning Peephole LSTM Neural Network-Based Channel State Estimators for OFDM 5G and Beyond Networks von Essai Ali, Mohamed Hassan, Abdellah, Ali R., Atallah, Hany A., Ahmed, Gehad Safwat, Muthanna, Ammar, Koucheryavy, Andrey

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Deep learning‐based pilot‐assisted channel state estimator for OFDM systems von Essai Ali, Mohamed Hassan

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Artificial neural network-based sparse channel estimation for V2V communication systems von Rahim, Eman Abdel, Essai, Mohamed Hassan, Hamad, Ehab K. I.

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Machine Learning-Based Channel State Estimators for 5G Wireless Communication Systems von Hassan Essai Ali, Mohamed, Alraddady, Fahad, Y. Al-Thunaibat, Mo’ath, Elnazer, Shaima

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A promising Ka band leaky-wave antenna based on a periodic structure of non-identical irregularities von Shaaban, Mohamed N., Ali, Mohamed Hassan Essai, Yasseen, M. S., Nasybullin, Aydar R., Sedelnikov, Yuri E.

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Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches von Hussein, Hany S., Essai Ali, Mohamed Hassan, Ismeil, Mohammed, Shaaban, Mohamed N., Mohamed, Mona Lotfy, Atallah, Hany A.

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An efficient deep neural network channel state estimator for OFDM wireless systems von Hassan, Hassan A., Mohamed, Mohamed A., Shaaban, Mohamed N., Ali, Mohamed Hassan Essai, Omer, Osama A.

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Modified state activation functions of deep learning-based SC-FDMA channel equalization system von Mohamed, Mohamed A., Hassan, Hassan A., Essai, Mohamed H., Esmaiel, Hamada, Mubarak, Ahmed S., Omer, Osama A.

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Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems von Hassan, Hassan A., Mohamed, Mohamed A., Essai, Mohamed H., Esmaiel, Hamada, Mubarak, Ahmed S., Omer, Osama A.

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Modified gate activation functions of Bi-LSTM-based SC-FDMA channel equalization von Mohamed, Mohamed A., Hassan, Hassan A., Essai, Mohamed H., Esmaiel, Hamada, Mubarak, Ahmed S., Omer, Osama A.

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An efficient and reliable OFDM channel state estimator using deep learning convolutional neural networks von Mubarak, Ahmad S. A., Isa, Muhammad H., Muhammad, Muhammad A., Hasan, Hasan A., Umar, Usamah A., Ismail, Hamadah

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Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks von Houran, Mohamad Abou, Badry, Eman A., Abdel-Raman, Adel B., Essai Ali, Mohamed H., Hassan, Alaaeldien, Atallah, Hany A.

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Deep Learning-Based SC-FDMA Channel Equalization von Mohamed, Mohamed A.

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